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  • 标题:Human Identification Method: SCLERA RECOGNITION
  • 本地全文:下载
  • 作者:Vanita Patil ; A. M. Patil
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2017
  • 卷号:6
  • 期号:1
  • 页码:24-29
  • 出版社:IJCSN publisher
  • 摘要:The structure of blood vessels in the sclera- the white part of the human eye, is unique for every individual, hence it is best suited for human identification. However, this is a challenging research because it has a high insult rate (the number of occasions the valid user is rejected). In this survey firstly a brief introduction is presented about the sclera based biometric authentication. In addition, a literature survey is presented. We have proposed simplified method for sclera segmentation, a new method for sclera pattern enhancement based on histogram equalization and line descriptor based feature extraction and pattern matching with the help of matching score between the two segment descriptors. We attempt to increase the awareness about this topic, as much of the research is not done in this area.
  • 关键词:Sclera Recognition; Histogram Equalization; Image Processing; Line Descriptor; Sclera Segmentation
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